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Indexing 100M vectors in 20 minutes on PostgreSQL with 12GB RAM

A vector graphics workstation from the 70s

Hachi: An Image Search Engine

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28M Hacker News comments as vector embedding search dataset

A DOOM vector engine for rendering in KiCad, and over an audio jack

I put a real search engine into a Lambda, so you only pay when you search

Celtic Code: Drawing Knots with Python

Building a Simple Search Engine That Works

Agentic Postgres: Postgres for Agentic Apps with Fast Forking and AI-Ready Features

Tiger Data, the company behind TimescaleDB, has launched Agentic Postgres, a Postgres-based database designed for both AI agents and developers. It extends Postgres with fast forking, an MCP server, native BM25 and vector search, and includes a CLI for terminal access. By Sergio De Simone

Vector db comparison

I built a search engine that uses vector embeddings

deepseek-ai/DeepSeek-V3.2 · Hugging Face

deepseek-ai/DeepSeek-V3.2 · Hugging Face

AI is great, but only when it knows where to look

Is AI search changing how people find websites?

Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL

I worked on RAG for a $25B+ company (What I learnt & Challenges)

Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL

Google

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embeddinggemma-300m

Task: sentence-similarity

meilisearch

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meilisearch

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

weaviate

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weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

chroma-core

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chroma

Open-source search and retrieval database for AI applications.

pgvector

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pgvector

Open-source vector similarity search for Postgres

milvus-io

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milvus

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

google

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highway

Performance-portable, length-agnostic SIMD with runtime dispatch

facebookresearch

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faiss

A library for efficient similarity search and clustering of dense vectors.

qdrant

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qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

lancedb

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lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..